How to Create Vector Embeddings in Node.js

In this article, four methods to generate vector embeddings in Node.js are discussed: locally, via API, via a framework, and with Astra DB's Vectorize. The author explains how to use Transformers.js to create vector embeddings using local models like all-MiniLM-L6-v2. They also explore the use of APIs from providers such as OpenAI, Google, Cohere, Voyage AI, and Jina for generating embeddings. Additionally, they introduce two frameworks, LangChain and LlamaIndex, that provide abstractions over various parts of the GenAI toolchain, including embeddings. Finally, the author presents Astra DB's Vectorize feature, which allows users to store vectors in a vector database like Astra DB and perform searches against them.